Datasets tagged africa in Earth Engine

• Open Buildings V1 Polygons

  This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 516M building detections across an area of 19.4M km2 (64% of the African continent). For each building in this dataset we include the polygon describing its footprint …

  africa building built-up open-buildings structure

• iSDAsoil extractable Aluminium

  Extractable aluminium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. Soil property predictions were made by Innovative Solutions for Decision Agriculture Ltd. (iSDA) at 30 m pixel size using machine learning coupled …

  africa aluminium isda soil

• iSDAsoil Depth to Bedrock

  Depth to bedrock at 0-200 cm depth, predicted mean and standard deviation. Due to the potential cropland mask that was used for generating the data, many areas of exposed rock (where depth to bedrock would be 0 cm) have been masked out and therefore appear …

  africa bedrock isda soil

• iSDAsoil Bulk Density, <2mm Fraction

  Bulk density, <2mm fraction at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with x/100. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) …

  africa bulk-density isda soil

• iSDAsoil Extractable Calcium

  Extractable calcium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa calcium isda soil

• iSDAsoil Organic Carbon

  Organic carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa carbon carbon-organic isda soil

• iSDAsoil Total Carbon

  Total carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa aluminium isda soil

• iSDAsoil Effective Cation Exchange Capacity

  Effective Cation Exchange Capacity predicted mean and standard deviation at soil depths of 0-20 cm and 20-50 cm, Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) …

  africa aluminium isda soil

• iSDAsoil Clay Content

  Clay content at soil depths of 0-20 cm and 20-50 cm,\npredicted mean and standard deviation. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen. Soil property predictions were made by Innovative …

  africa clay isda soil

• iSDAsoil Fertility Capability Classification

  Soil fertility capability classification derived using slope, chemical, and physical soil properties. For more information about this layer, please visit this page. The classes for the 'fcc' band apply to pixel values that must be back-transformed with x modulo 3000. In areas of dense jungle …

  africa fcc isda soil

• iSDAsoil Extractable Iron

  Extractable iron at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa iron isda soil

• iSDAsoil Extractable Magnesium

  Extractable magnesium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa isda magnesium soil

• iSDAsoil Total Nitrogen

  Total nitrogen at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/100)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa isda nitrogen soil

• iSDAsoil pH

  pH at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with x/10. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen. …

  africa isda ph soil

• iSDAsoil Extractable Phosphorus

  Extractable phosphorus at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa isda phosphorus soil

• iSDAsoil Extractable Potassium

  Extractable potassium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa isda potassium soil

• iSDAsoil Sand Content

  Sand content at soil depths of 0-20 cm and 20-50 cm,\npredicted mean and standard deviation. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen. Soil property predictions were made by Innovative …

  africa isda sand soil

• iSDAsoil Silt Content

  Silt content at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa isda silt soil

• iSDAsoil Stone Content

  Stone content at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa isda soil stone

• iSDAsoil Extractable Sulphur

  Extractable sulphur at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa isda soil sulphur

• iSDAsoil USDA Texture Class

  USDA Texture Class at soil depths of 0-20 cm and 20-50 cm. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen. Soil property predictions were made by Innovative Solutions for Decision …

  africa aluminium isda soil

• iSDAsoil Extractable Zinc

  Extractable zinc at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be …

  africa isda soil zinc